Triple

T12155240
Position Surface form Disambiguated ID Type / Status
Subject Anaguta E289556 entity
Predicate hasAlternativeName P39 FINISHED
Object Agat E926380 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Agat | Statement: [Anaguta, hasAlternativeName, Agat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agat
Context triple: [Anaguta, hasAlternativeName, Agat]
  • A. Agat chosen
    Agat is a coastal village on the western shore of Guam known for its World War II history and role as a gateway to the island’s southern region.
  • B. Gannat
    Gannat is a small town in central France known for its rich paleontological heritage and traditional cultural festivals.
  • C. Atil
    Atil was the principal city and political center of the Khazar Khaganate, serving as a major commercial hub on the lower Volga River in the early medieval period.
  • D. Agta
    The Agta are an indigenous Negrito people of the Philippines known for their traditionally nomadic, forest-based lifestyle and rich oral traditions.
  • E. Kantua
    Kantua is a lesser-known language belonging to the Katuic branch of the Austroasiatic language family, spoken by an ethnic minority in mainland Southeast Asia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915c1673c8190830cd15525d16869 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f69c8d408190abbc900deb534045 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:50 p.m.